With 13 years of experience in ML and Data Engineering, including 6 years leading successful ML and data projects and teams, I possess a high level of expertise with various infrastructure, compute, data, and machine learning technologies such as Terraform, Docker, Kubernetes, DBT, Airflow, Kubeflow, and TFX. Notably, I have successfully led two multi-tenant ML stack reboots from scratch for Enterprise companies on two distinct cloud providers – AWS and GCP. My philosophy is centered on simplicity, using managed services, solid CI/CD workflows, and maintaining a human approach in all projects. I strongly believe in sharing knowledge with peers and maintaining a supportive, collaborative work environment.